ISIS Neutron and Muon Source Data Journal

This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.


Study on the effect of polymer dynamics to the transport properties and macroscopic stiffening in polymer nanocomposites

Abstract: We use inorganic nanoparticles grafted with polymers as membranes for gas separation. These membranes show remarkable enhancement in permeability as compared to the bulk polymers. Using such a template will enable the use of polymers that were not feasible for commercial applications, since this method solves some of the conventional problems - aging of the polymers (and a corresponding decrease in permeability) and increases mechanical strength. What we do not know is how the local dynamics of the polymers affect the gas permeation process and the unique stress response of the system. The key objectives of this proposal are - Understand how local polymer dynamics are manifested in the system. Understand the link between enhanced gas transport and dynamics. This experiment will enable us to understand the mechanism of gas transport and how to design better materials in the future.

Principal Investigator: Dr Sanat Kumar
Local Contact: Dr Victoria Garcia Sakai
Experimenter: Mr Mayank Jhalaria

DOI: 10.5286/ISIS.E.RB1810435

ISIS Experiment Number: RB1810435

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.94115514 IRIS 05 July 2021 Download

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
Select the data format above to find out more about it.

Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Dr Sanat Kumar et al; (2018): Study on the effect of polymer dynamics to the transport properties and macroscopic stiffening in polymer nanocomposites, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1810435

Data is released under the CC-BY-4.0 license.



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